The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-04-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "147872402 (up from 147189618 yesterday: 0.46 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "3120403 (up from 3109247 yesterday: 0.36 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 16057350

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.11



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 32124869 47691 0.15 1338065 572674 474 0.08 1.78
India 17636186 323023 1.87 4950137 197894 2771 1.42 1.12
Brazil 14369423 28636 0.20 1355822 391936 1139 0.29 2.73
France 5565080 5959 0.11 671109 103415 398 0.39 1.86
Russia 4717321 8681 0.18 179220 106783 349 0.33 2.26
Turkey 4667281 37312 0.81 1137680 38711 353 0.92 0.83
United Kingdom 4422562 2119 0.05 45933 127688 7 0.01 2.89
Italy 3971114 8440 0.21 292170 119539 301 0.25 3.01
Spain 3488469 19852 0.57 177144 77738 147 0.19 2.23
Germany 3312653 5961 0.18 410344 82009 338 0.41 2.48
Argentina 2879677 18793 0.66 472518 62087 443 0.72 2.16
Colombia 2787303 12839 0.46 330894 71799 448 0.63 2.58
Poland 2762323 3467 0.13 313860 65437 22 0.03 2.37
Iran 2417230 21026 0.88 471266 70070 496 0.71 2.90
Mexico 2329534 1143 0.05 77829 215113 166 0.08 9.23
Ukraine 2084384 5184 0.25 277057 44323 202 0.46 2.13
Peru 1768186 6611 0.38 177977 60013 289 0.48 3.39
Indonesia 1647138 5944 0.36 109171 44771 177 0.40 2.72
Czechia 1620206 823 0.05 66386 29002 40 0.14 1.79
South Africa 1576320 849 0.05 23904 54186 38 0.07 3.44
Netherlands 1492437 6232 0.42 162877 17295 14 0.08 1.16
Canada 1195827 8836 0.74 178697 24011 61 0.25 2.01
Chile 1175614 6078 0.52 143002 25975 119 0.46 2.21
Romania 1047520 1256 0.12 69534 27511 117 0.43 2.63
Iraq 1037858 6536 0.63 157867 15303 46 0.30 1.47
Philippines 1006428 8905 0.89 203030 16853 70 0.42 1.67
Belgium 976088 1670 0.17 73124 24065 41 0.17 2.47
Sweden 938343 0 0.00 125152 13923 0 0.00 1.48
Israel 838107 83 0.01 3504 6353 1 0.02 0.76
Portugal 834638 196 0.02 11144 16965 0 0.00 2.03
Pakistan 804939 4487 0.56 108755 17329 142 0.83 2.15
Hungary 771454 1936 0.25 81601 26801 176 0.66 3.47
Bangladesh 748628 3306 0.44 104189 11150 97 0.88 1.49
Jordan 704540 2386 0.34 65096 8660 45 0.52 1.23
Serbia 681654 1987 0.29 60279 6257 30 0.48 0.92
Switzerland 651822 5313 0.82 46480 10583 13 0.12 1.62
Austria 610545 1566 0.26 49573 10098 11 0.11 1.65
Japan 571904 3283 0.58 85112 9968 29 0.29 1.74
Lebanon 521581 642 0.12 41079 7171 29 0.41 1.37
United Arab Emirates 512497 1759 0.34 40349 1573 2 0.13 0.31
Morocco 509465 102 0.02 11136 8999 7 0.08 1.77
Saudi Arabia 413174 958 0.23 19797 6913 13 0.19 1.67
Bulgaria 399259 1759 0.44 42400 16101 194 1.22 4.03
Malaysia 395718 2776 0.71 43689 1449 13 0.91 0.37
Slovakia 380010 99 0.03 14610 11531 36 0.31 3.03
Ecuador 374775 1413 0.38 37998 18300 123 0.68 4.88
Kazakhstan 363871 2296 0.63 56195 3322 7 0.21 0.91
Panama 363165 198 0.05 6609 6212 3 0.05 1.71
Belarus 353846 896 0.25 25556 2502 9 0.36 0.71
Greece 334436 1307 0.39 57159 10087 80 0.80 3.02
Croatia 323036 410 0.13 42872 6905 51 0.74 2.14
Azerbaijan 313812 806 0.26 41978 4402 31 0.71 1.40
Georgia 304272 521 0.17 20211 4043 18 0.45 1.33
Nepal 303561 3442 1.15 25351 3176 12 0.38 1.05
Tunisia 301627 1285 0.43 40450 10352 48 0.47 3.43
Bolivia 298778 1119 0.38 23386 12861 37 0.29 4.30
West Bank and Gaza 292052 1080 0.37 38130 3184 17 0.54 1.09
Paraguay 269353 2271 0.85 46690 6002 102 1.73 2.23
Kuwait 268235 1286 0.48 29686 1527 11 0.73 0.57
Dominican Republic 265403 540 0.20 10968 3459 5 0.14 1.30
Ethiopia 253120 841 0.33 35793 3570 19 0.54 1.41
Moldova 249385 246 0.10 13595 5745 15 0.26 2.30
Denmark 249020 704 0.28 14531 2478 2 0.08 1.00
Ireland 247069 436 0.18 8603 4874 1 0.02 1.97
Lithuania 241872 575 0.24 21660 3857 9 0.23 1.59
Costa Rica 241240 2480 1.04 24476 3168 25 0.80 1.31
Slovenia 237219 191 0.08 16794 4214 6 0.14 1.78
Egypt 223514 991 0.45 17782 13107 58 0.44 5.86
Guatemala 221939 241 0.11 26259 7428 18 0.24 3.35
Armenia 213469 181 0.08 16356 4040 22 0.55 1.89
Honduras 206907 0 0.00 15771 5141 0 0.00 2.48
Qatar 202904 703 0.35 18570 437 9 2.10 0.22
Bosnia and Herzegovina 195971 1238 0.64 19558 8350 147 1.79 4.26
Venezuela 192498 980 0.51 24950 2065 18 0.88 1.07
Oman 190270 1454 0.77 25996 1983 6 0.30 1.04
Uruguay 187349 2484 1.34 67391 2391 65 2.79 1.28
Libya 175753 467 0.27 12311 3005 9 0.30 1.71
Bahrain 172576 1206 0.70 22785 625 1 0.16 0.36
Nigeria 164756 37 0.02 1426 2062 0 0.00 1.25
Kenya 156981 194 0.12 17533 2643 21 0.80 1.68
North Macedonia 150672 84 0.06 15505 4714 37 0.79 3.13
Burma 142722 10 0.01 211 3207 1 0.03 2.25
Albania 130606 69 0.05 3811 2379 1 0.04 1.82
Algeria 121112 190 0.16 3373 3217 10 0.31 2.66
Estonia 120378 163 0.14 10597 1145 2 0.17 0.95
Korea, South 119898 511 0.43 13668 1820 3 0.17 1.52
Latvia 115536 220 0.19 11312 2106 4 0.19 1.82
Norway 111162 550 0.50 11913 736 0 0.00 0.66
Kosovo 103638 0 0.00 12559 2134 0 0.00 2.06
Cuba 102441 938 0.92 21831 597 6 1.02 0.58
China 102399 15 0.01 498 4845 0 0.00 4.73
Sri Lanka 102376 997 0.98 8781 647 5 0.78 0.63

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 3734562 2792 0.07 51701 61500 21 0.03 1.65 94516.63 1556.48 1 in 11
Texas 2878438 4443 0.15 71530 49967 31 0.06 1.74 99270.58 1723.24 1 in 10
Florida 2212097 3513 0.16 126791 34912 64 0.18 1.58 102994.88 1625.50 1 in 10
New York 2034102 3009 0.15 121706 52042 39 0.07 2.56 104561.94 2675.19 1 in 10
Illinois 1323069 2135 0.16 64439 24150 11 0.05 1.83 104410.33 1905.80 1 in 10
Pennsylvania 1137602 2860 0.25 89874 25976 9 0.03 2.28 88861.35 2029.06 1 in 11
Georgia 1094580 812 0.07 29383 20009 34 0.17 1.83 103092.81 1884.54 1 in 10
Ohio 1065702 1396 0.13 38773 19122 0 0.00 1.79 91170.58 1635.88 1 in 11
New Jersey 988886 -9005 -0.90 58860 25399 19 0.07 2.57 111333.58 2859.54 1 in 9
North Carolina 962623 5691 0.59 40063 12560 37 0.30 1.30 91782.54 1197.55 1 in 11
Michigan 918880 7080 0.78 138906 18446 37 0.20 2.01 92008.93 1847.03 1 in 11
Arizona 859487 750 0.09 14577 17268 0 0.00 2.01 112869.22 2267.66 1 in 9
Tennessee 843059 2010 0.24 26037 12152 10 0.08 1.44 123377.36 1778.38 1 in 8
Indiana 715468 682 0.10 23843 13280 6 0.05 1.86 106275.21 1972.60 1 in 9
Massachusetts 683665 881 0.13 37445 17562 12 0.07 2.57 98376.10 2527.09 1 in 10
Wisconsin 656932 406 0.06 17379 7473 0 0.00 1.14 112827.73 1283.48 1 in 9
Virginia 654929 719 0.11 28758 10706 15 0.14 1.63 76729.84 1254.29 1 in 13
Missouri 588801 284 0.05 4246 9077 2 0.02 1.54 95936.12 1478.96 1 in 10
South Carolina 575515 530 0.09 19046 9433 3 0.03 1.64 111778.40 1832.11 1 in 9
Minnesota 569440 1197 0.21 41790 7157 0 0.00 1.26 100971.13 1269.05 1 in 10
Alabama 526348 217 0.04 9430 10852 1 0.01 2.06 107348.18 2213.26 1 in 9
Colorado 503254 1012 0.20 34266 6255 4 0.06 1.24 87389.66 1086.18 1 in 11
Louisiana 456432 891 0.20 9695 10342 6 0.06 2.27 98182.88 2224.66 1 in 10
Oklahoma 447278 728 0.16 5842 6716 0 0.00 1.50 113035.45 1697.26 1 in 9
Maryland 443814 557 0.13 25626 8670 9 0.10 1.95 73410.10 1434.08 1 in 14
Kentucky 441166 211 0.05 11655 6459 10 0.16 1.46 98746.26 1445.72 1 in 10
Washington 397417 2105 0.53 27400 5450 16 0.29 1.37 52189.44 715.70 1 in 19
Utah 395677 246 0.06 8163 2183 1 0.05 0.55 123419.27 680.92 1 in 8
Iowa 363162 238 0.07 9333 5927 0 0.00 1.63 115104.26 1878.56 1 in 9
Connecticut 336933 2167 0.65 20278 8066 19 0.24 2.39 94503.75 2262.37 1 in 11
Arkansas 334769 63 0.02 3671 5720 2 0.03 1.71 110930.55 1895.40 1 in 9
Nevada 313680 840 0.27 8323 5433 11 0.20 1.73 101839.00 1763.87 1 in 10
Mississippi 310987 638 0.21 4829 7178 3 0.04 2.31 104493.09 2411.84 1 in 10
Kansas 309371 488 0.16 4587 4926 2 0.04 1.59 106192.12 1690.86 1 in 9
Nebraska 218832 100 0.05 6874 2242 0 0.00 1.02 113126.08 1159.01 1 in 9
New Mexico 196844 623 0.32 4249 4027 3 0.07 2.05 93876.99 1920.52 1 in 11
Idaho 186725 542 0.29 4889 2034 3 0.15 1.09 104195.44 1135.00 1 in 10
Oregon 181321 621 0.34 14193 2486 1 0.04 1.37 42990.12 589.42 1 in 23
West Virginia 151671 289 0.19 7938 2821 0 0.00 1.86 84867.67 1578.49 1 in 12
Rhode Island 146960 636 0.43 7787 2663 3 0.11 1.81 138725.14 2513.78 1 in 7
Puerto Rico 130037 834 0.65 20015 2279 14 0.62 1.75 40716.80 713.59 1 in 25
South Dakota 122080 94 0.08 3563 1960 2 0.10 1.61 137996.67 2215.54 1 in 7
Montana 108111 14 0.01 2969 1563 0 0.00 1.45 101153.84 1462.42 1 in 10
North Dakota 106809 121 0.11 3095 1517 0 0.00 1.42 140157.89 1990.65 1 in 7
Delaware 103459 237 0.23 6882 1617 1 0.06 1.56 106246.48 1660.57 1 in 9
New Hampshire 93821 0 0.00 7696 1284 0 0.00 1.37 69000.69 944.32 1 in 14
Alaska 67509 450 0.67 3508 347 13 3.89 0.51 92282.77 474.34 1 in 11
Maine 60005 229 0.38 8019 772 0 0.00 1.29 44639.54 574.31 1 in 22
Wyoming 57818 122 0.21 1289 705 0 0.00 1.22 99899.96 1218.12 1 in 10
District of Columbia 47378 55 0.12 2266 1099 0 0.00 2.32 67131.52 1557.21 1 in 15
Hawaii 33418 67 0.20 1988 478 0 0.00 1.43 23602.42 337.60 1 in 42
Vermont 22617 41 0.18 2350 244 0 0.00 1.08 36245.83 391.03 1 in 28

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 59095717 3734562 6.32 4008586 51701 1.29 1495631.3
2 Texas 22742379 2878438 12.66 1107773 71530 6.46 784331.4
3 Florida 22394416 2212097 9.88 1289017 126791 9.84 1042680.4
4 New York 50361096 2034102 4.04 4451025 121706 2.73 2588785.5
5 Illinois 22269555 1323069 5.94 1642943 64439 3.92 1757407.6
6 Pennsylvania 12789141 1137602 8.90 944654 89874 9.51 998996.4
7 Georgia 8230080 1094580 13.30 358712 29383 8.19 775148.6
8 Ohio 12250275 1065702 8.70 1147388 38773 3.38 1048008.4
9 New Jersey 13373810 988886 7.39 1023900 58860 5.75 1505688.4
10 North Carolina 11160732 962623 8.63 614667 40063 6.52 1064134.5
11 Michigan 12624062 918880 7.28 979829 138906 14.18 1264067.6
12 Arizona 9078995 859487 9.47 436233 14577 3.34 1192268.2
13 Tennessee 7564222 843059 11.15 324227 26037 8.03 1106985.1
14 Indiana 9646086 715468 7.42 616599 23843 3.87 1432824.2
15 Massachusetts 20974673 683665 3.26 1836195 37445 2.04 3018154.4
16 Wisconsin 8171612 656932 8.04 454048 17379 3.83 1403470.1
17 Virginia 6952209 654929 9.42 386646 28758 7.44 814503.4
18 Missouri 5226585 588801 11.27 280646 4246 1.51 851592.1
19 South Carolina 6063334 575515 9.49 354707 19046 5.37 1177640.5
20 Minnesota 8409105 569440 6.77 624318 41790 6.69 1491073.4
21 Alabama 2486164 526348 21.17 65675 9430 14.36 507050.8
22 Colorado 7694869 503254 6.54 596158 34266 5.75 1336208.0
23 Louisiana 6391230 456432 7.14 324188 9695 2.99 1374814.6
24 Oklahoma 3966365 447278 11.28 179343 5842 3.26 1002374.0
25 Maryland 9551857 443814 4.65 648457 25626 3.95 1579947.5
26 Kentucky 4593766 441166 9.60 358178 11655 3.25 1028223.4
27 Washington 6403428 397417 6.21 426755 27400 6.42 840908.5
28 Utah 3257273 395677 12.15 143194 8163 5.70 1016006.1
29 Iowa 1418931 363162 25.59 40146 9333 23.25 449730.4
30 Connecticut 7889286 336933 4.27 615890 20278 3.29 2212805.3
31 Arkansas 2953060 334769 11.34 77630 3671 4.73 978539.2
32 Nevada 3136964 313680 10.00 161828 8323 5.14 1018443.2
33 Mississippi 1873280 310987 16.60 40135 4829 12.03 629430.8
34 Kansas 1362304 309371 22.71 38772 4587 11.83 467613.2
35 Nebraska 2808041 218832 7.79 158080 6874 4.35 1451628.1
36 New Mexico 3208476 196844 6.14 185035 4249 2.30 1530156.2
37 Idaho 701182 186725 26.63 22828 4889 21.42 391270.4
38 Oregon 4578322 181321 3.96 353577 14193 4.01 1085492.5
39 West Virginia 2706016 151671 5.60 187927 7938 4.22 1514154.1
40 Rhode Island 3913517 146960 3.76 348580 7787 2.23 3694224.2
42 South Dakota 708550 122080 17.23 -32354 3563 -11.01 800930.1
43 Montana 1292692 108111 8.36 71920 2969 4.13 1209504.7
44 North Dakota 1511880 106809 7.06 37155 3095 8.33 1983933.1
45 Delaware 1702151 103459 6.08 103507 6882 6.65 1748011.8
46 New Hampshire 1830161 93821 5.13 145346 7696 5.29 1345992.6
47 Alaska 2053055 67509 3.29 133226 3508 2.63 2806464.4
48 Maine 2010799 60005 2.98 207336 8019 3.87 1495894.2
49 Wyoming 717274 57818 8.06 27182 1289 4.74 1239331.1
50 District of Columbia 1489831 47378 3.18 94618 2266 2.39 2110992.7
51 Hawaii 1411944 33418 2.37 114851 1988 1.73 997225.7
52 Vermont 1542903 22617 1.47 168235 2350 1.40 2472644.5

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 9277607 796289 872 0.11 8.58 3824 601 52964 32688 4.11
Veneto 6987724 408365 535 0.13 5.84 1035 187 23507 11245 2.75
Campania 4203483 384410 1282 0.33 9.15 1527 141 91719 6268 1.63
Emilia-Romagna 5462915 365715 936 0.26 6.69 1861 268 48523 12801 3.50
Piemonte 3864827 341419 568 0.17 8.83 2404 247 17089 11158 3.27
Lazio 5970097 319462 964 0.30 5.35 2411 331 46623 7554 2.36
Puglia 2171461 229658 477 0.21 10.58 1723 232 48728 5721 2.49
Toscana 4017800 223551 737 0.33 5.56 1466 262 22671 6062 2.71
Sicilia 3780405 204645 1069 0.53 5.41 1254 174 26091 5305 2.59
Friuli Venezia Giulia 1814450 104537 100 0.10 5.76 286 37 8265 3671 3.51
Liguria 1410094 98354 200 0.20 6.97 526 69 6068 4143 4.21
Marche 1112239 96543 123 0.13 8.68 478 68 6412 2915 3.02
P.A. Bolzano 1331125 70877 4 0.01 5.32 65 6 802 1159 1.64
Abruzzo 1396909 70615 97 0.14 5.06 419 44 9057 2377 3.37
Calabria 755318 58291 185 0.32 7.72 482 46 14871 987 1.69
Umbria 1134028 53940 25 0.05 4.76 169 31 2985 1347 2.50
Sardegna 1171672 53590 135 0.25 4.57 362 47 17760 1363 2.54
P.A. Trento 756005 43650 16 0.04 5.77 89 26 1160 1335 3.06
Basilicata 330768 23338 50 0.21 7.06 166 10 6064 518 2.22
Molise 211634 13119 16 0.12 6.20 42 14 639 468 3.57
Valle d’Aosta 111275 10746 53 0.50 9.66 46 8 814 454 4.22

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Ontario 456753 3416 0.75 7921 26 0.33 1.73 31046.65 538.41 1 in 32
Quebec 345697 889 0.26 10886 8 0.07 3.15 40490.77 1275.05 1 in 25
Alberta 183301 1495 0.82 2074 7 0.34 1.13 41535.22 469.96 1 in 24
British Columbia 126249 2491 2.01 1571 17 1.09 1.24 24701.83 307.38 1 in 40
Saskatchewan 40177 245 0.61 476 1 0.21 1.18 34000.30 402.82 1 in 29
Manitoba 37808 210 0.56 968 1 0.10 2.56 27446.49 702.71 1 in 36
Nova Scotia 2119 66 3.21 67 0 0.00 3.16 2167.87 68.55 1 in 461
New Brunswick 1858 7 0.38 35 0 0.00 1.88 2382.07 44.87 1 in 420
Newfoundland and Labrador 1062 4 0.38 6 0 0.00 0.56 2036.96 11.51 1 in 491
Nunavut 464 9 1.98 4 0 0.00 0.86 NA NA 1 in NA
Prince Edward Island 175 0 0.00 0 0 NaN 0.00 1106.49 0.00 1 in 904
Yukon 81 1 1.25 2 1 100.00 2.47 1971.86 48.69 1 in 507
Northwest Territories 57 3 5.56 0 0 NaN 0.00 1269.37 0.00 1 in 788
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 98181.14 1750.23 1 in 10
India 13171.16 147.79 1 in 76
Brazil 68654.67 1872.60 1 in 15
France 83073.29 1543.74 1 in 12
Russia 32645.82 738.98 1 in 31
Turkey 57756.23 479.04 1 in 17
United Kingdom 66564.75 1921.85 1 in 15
Italy 65659.95 1976.50 1 in 15
Spain 74763.59 1666.05 1 in 13
Germany 40012.72 990.57 1 in 25
Argentina 65048.05 1402.46 1 in 15
Colombia 56802.59 1463.20 1 in 18
Poland 72730.99 1722.93 1 in 14
Iran 29783.51 863.36 1 in 34
Mexico 18030.45 1664.96 1 in 55
Ukraine NA NA 1 in NA
Peru 54963.82 1865.50 1 in 18
Indonesia 6239.16 169.59 1 in 160
Czechia 152132.02 2723.19 1 in 7
South Africa 27791.26 955.32 1 in 36

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 1231838 23799 1.93
Maricopa Arizona 534982 9836 1.84
Cook Illinois 530003 9900 1.87
Miami-Dade Florida 479426 6125 1.28
Harris Texas 390547 6151 1.57
Riverside California 298001 4559 1.53
Dallas Texas 297637 3958 1.33
San Bernardino California 295565 4571 1.55
San Diego California 275540 3692 1.34
Kings New York 270349 10093 3.73
Orange California 269724 4933 1.83
Queens New York 268351 9663 3.60
Tarrant Texas 255984 3402 1.33
Clark Nevada 242524 4271 1.76
Broward Florida 233624 2868 1.23
Bexar Texas 216339 3450 1.59
Suffolk New York 196101 3338 1.70
Nassau New York 179572 3132 1.74
Bronx New York 177686 6435 3.62
Wayne Michigan 151702 4546 3.00
Salt Lake Utah 147313 842 0.57
Philadelphia Pennsylvania 145181 3442 2.37
Palm Beach Florida 141747 2751 1.94
Orange Florida 134777 1238 0.92
New York New York 134200 4366 3.25
El Paso Texas 133458 2643 1.98
Hillsborough Florida 133429 1682 1.26
Middlesex Massachusetts 131332 3713 2.83
Westchester New York 127179 2250 1.77
Franklin Ohio 123893 1370 1.11
Hennepin Minnesota 118370 1700 1.44
Santa Clara California 117965 2047 1.74
Pima Arizona 114892 2391 2.08
Milwaukee Wisconsin 114230 1338 1.17
Cuyahoga Ohio 109249 2084 1.91
Mecklenburg North Carolina 109135 934 0.86
Oakland Michigan 108858 2175 2.00
Kern California 108313 1345 1.24
Sacramento California 102486 1657 1.62
Fresno California 101061 1662 1.64
King Washington 100276 1505 1.50
Gwinnett Georgia 100225 1131 1.13
Bergen New Jersey 100215 2812 2.81
Fairfield Connecticut 97641 2157 2.21
Marion Indiana 97552 1727 1.77
St. Louis Missouri 96824 2153 2.22
Duval Florida 96587 1372 1.42
Allegheny Pennsylvania 96168 1885 1.96
Fulton Georgia 95613 1352 1.41
Utah Utah 94932 375 0.40
Essex Massachusetts 94838 2343 2.47
Providence Rhode Island 94224 1934 2.05
Shelby Tennessee 94112 1602 1.70
Macomb Michigan 92958 2177 2.34
Essex New Jersey 92122 2874 3.12
Suffolk Massachusetts 90356 1812 2.01
Middlesex New Jersey 90090 2284 2.54
Collin Texas 89285 814 0.91
New Haven Connecticut 88766 2059 2.32
Davidson Tennessee 88643 929 1.05
DuPage Illinois 87994 1257 1.43
Hidalgo Texas 87879 2811 3.20
Alameda California 86162 1486 1.72
Hudson New Jersey 86004 2204 2.56
Oklahoma Oklahoma 85619 1174 1.37
Wake North Carolina 85419 716 0.84
Erie New York 85081 1732 2.04
Prince George’s Maryland 82405 1435 1.74
Travis Texas 81906 986 1.20
Hartford Connecticut 81109 2384 2.94
Ventura California 80502 1007 1.25
Hamilton Ohio 78984 1177 1.49
Jefferson Kentucky 78826 1173 1.49
Pinellas Florida 78084 1596 2.04
Cobb Georgia 77146 1035 1.34
Jefferson Alabama 75948 1498 1.97
Fairfax Virginia 75417 1068 1.42
Worcester Massachusetts 74776 2187 2.92
Ocean New Jersey 74133 2102 2.84
Denton Texas 73925 745 1.01
Monmouth New Jersey 73835 1566 2.12
Tulsa Oklahoma 73773 1022 1.39
Greenville South Carolina 73140 983 1.34
Will Illinois 73053 973 1.33
Richmond New York 72269 1765 2.44
San Joaquin California 71987 1346 1.87
Passaic New Jersey 70760 1853 2.62
Douglas Nebraska 70218 665 0.95
Union New Jersey 69545 1916 2.76
Denver Colorado 69484 799 1.15
Montgomery Maryland 69476 1517 2.18
Lee Florida 68360 955 1.40
Contra Costa California 67670 789 1.17
Montgomery Pennsylvania 66922 1647 2.46
Kent Michigan 66882 777 1.16
Polk Florida 66692 1297 1.94
Fort Bend Texas 66279 655 0.99
Lake Illinois 65459 969 1.48
DeKalb Georgia 64458 983 1.53
Bristol Massachusetts 64233 1687 2.63

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc